OPTML @MSU

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OPTML @MSU

OPTML @MSU

@OptML_MSU

Optimization and Trustworthy Machine Learning (OPTML) @ MSU Director: Dr. Sijia Liu Direction: optimization theory, trustworthy and scalable machine learning

East Lansing, MI 가입일 Nisan 2022
5 팔로잉17 팔로워
OPTML @MSU 리트윗함
Aochuan Chen
Aochuan Chen@Arthur77Chen·
📢We're thrilled to present our #CVPR23 work during the poster session #253 Thu morning. Come and see the interpretability and advancement in visual prompting! @sijialiu17 @OptML_MSU @pinyuchenTW @MITIBMLab
Aochuan Chen@Arthur77Chen

What is the challenge of (visual) prompting (a kind of parameter-efficient fine-tuning) in the vision domain? Our new #CVPR23 paper "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" makes an effort to resolve the existing label mapping issue.

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OPTML @MSU
OPTML @MSU@OptML_MSU·
💡Excited for a deep dive into the remarkable synergy of text-visual prompting enhancing 2D temporal video grounding 🖼️, presented by @damon19950223 @sijialiu17 @IntelAI See you tomorrow afternoon at session #233!
OPTML @MSU tweet media
Damon Zhang@damon19950223

📢We're thrilled to present our #CVPR23 work during the poster session #233 Wed afternoon. Curious about how to enhance 2D temporal video grounding performance? Discover the power of text-visual prompting! 🚀 Project page: optml-group.com/posts/2dtvp_cv…. @sijialiu17 @OptML_MSU @IntelAI

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Yihua Zhang
Yihua Zhang@zyh2022·
🚀Unveil & tackle IRM challenges at #ICLR2023! We address long-overlooked challenges in IRM training and evaluation & unlock IRM with the consensus-constrained bi-level optimization! Don't miss our poster session📌MH1-2-3-4 #20, Wed, 4:30-6:30 pm CAT🌟 arxiv.org/abs/2303.02343
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Yihua Zhang
Yihua Zhang@zyh2022·
Is 5-min slideslive video too short to know our work? Check out this video (youtu.be/eeKITiOOTaE) and find more details on our Bi-Level Pruning algorithm! #NeurIPS2022 Paper: arxiv.org/abs/2210.04092 Code: github.com/OPTML-Group/BiP Look forward to meeting you in New Orleans.
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Yihua Zhang@zyh2022

Excited to share our work accepted by #NeurIPS2022 @NeurIPSConf! This is an amazing attempt to advance pruning through bi-level optimization with 2~7× speedup over IMP for the same level of model accuracy and sparsity. Paper: arxiv.org/pdf/2210.04092… Code: github.com/OPTML-Group/BiP

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OPTML @MSU 리트윗함
Yihua Zhang
Yihua Zhang@zyh2022·
So happy to receive the NeurIPS 2022 Scholar Award and Top Reviewer! Thanks for the acknowledgement from @NeurIPSConf, which would be a great encouragement to my research. Look forward to seeing you in New Orleans and I will share two papers at the poster session! #NeurIPS2022
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